
Mid-level Data Scientist – Credit
Conta Simples
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Continuously improve risk, credit limit, collections, and regulatory models.
- Build and monitor the performance of solutions.
- Establish control metrics that ensure model performance.
- Expand monitoring of customer behavior in the context of the credit framework.
- Develop cloud data-processing solutions to deploy models into production.
- Actively collaborate with stakeholders — Engineering, Product, Risk, Marketing, and Credit Desk — to build the best technical solutions, always with a customer focus.
Requirements
- Experience as a Data Scientist — minimum 2 years
- Strong knowledge of Statistics
- Proficiency in Python
- Experience with relational and non-relational (NoSQL) databases
- Experience with predictive models for credit granting
- Advanced SQL
- Knowledge of cloud platforms (preferably AWS and GCP)
- Nice to have:
- Experience working on projects using Agile methodologies
- Experience with tools such as Databricks, SageMaker, and Vertex AI
- Experience with MLOps
Benefits
- National health plan with no monthly fee and no co-payment for our #Simplers and up to 2 legal dependents
- National dental plan with no monthly fee and no co-payment for our #Simplers and up to 2 legal dependents
- Flex food credit on the iFood Benefits card
- Home office allowance
- Gympass and TotalPass — extendable to legal dependents (children and spouses)
- Birthday off (take the day to celebrate with those you love!)
- Partnerships with educational institutions
- Partnership with the Vittude platform offering access to many psychologists for mental health support
- Partnership with the Zenklub platform with professionals available for mental well-being support
- Life insurance
- Parental leave (maternity 180 days and paternity 45 days)
- Childcare assistance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ScientistStatisticsPythonrelational databasesNoSQLpredictive modelsSQLcloud platformsMLOps
Soft Skills
collaborationcustomer focus